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Fast, Detailed, Accurate Simulation of a Thermal Car-Cabin Using Machine-Learning

Overview of attention for article published in Frontiers in Mechanical Engineering, March 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Fast, Detailed, Accurate Simulation of a Thermal Car-Cabin Using Machine-Learning
Published in
Frontiers in Mechanical Engineering, March 2022
DOI 10.3389/fmech.2022.753169
Authors

Brandi Jess, James Brusey, Matteo Maria Rostagno, Alberto Maria Merlo, Elena Gaura, Kojo Sarfo Gyamfi

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 20%
Student > Ph. D. Student 2 13%
Researcher 2 13%
Student > Master 1 7%
Unspecified 1 7%
Other 2 13%
Unknown 4 27%
Readers by discipline Count As %
Engineering 6 40%
Computer Science 3 20%
Unspecified 1 7%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2022.
All research outputs
#14,928,795
of 26,383,299 outputs
Outputs from Frontiers in Mechanical Engineering
#74
of 634 outputs
Outputs of similar age
#188,754
of 453,952 outputs
Outputs of similar age from Frontiers in Mechanical Engineering
#2
of 27 outputs
Altmetric has tracked 26,383,299 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 634 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 453,952 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.